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Konvens Proceedings14th Conference on Natural Language Processing - KONVENS 2018
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Verlag der Österreichischen Akademie der Wissenschaften Austrian Academy of Sciences Press
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DATUM, UNTERSCHRIFT / DATE, SIGNATURE
BANK AUSTRIA CREDITANSTALT, WIEN (IBAN AT04 1100 0006 2280 0100, BIC BKAUATWW), DEUTSCHE BANK MÜNCHEN (IBAN DE16 7007 0024 0238 8270 00, BIC DEUTDEDBMUC)
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konvens 2018 - Konvens Proceedings, pp. 89-99, 2018/12/12
14th Conference on Natural Language Processing - KONVENS 2018
We present a corpus of political debates annotated with aspect-based sentiment and a corpus analysis. The source corpus consists of transcribed speeches taken from the two presidential debates of the 2016 US election. We annotate the corpus according to two different schemata and analyze their differences. We show that the choice schema has a strong impact on the result of aspect-based sentiment analysis. Furthermore, we provide a corpus that can be used as a gold-standard for automatic aspect-based sentiment annotation of political debates.